Senior Data Architect

The Role:

We are seeking a Senior Data Architect to define the strategic vision, enterprise-wide governance, and next-generation evolution of our overarching data architecture. You will set the enterprise standard for data management, advanced data modeling, and architectural design, enforcing best practices and ensuring our mission-critical data platforms are resilient, performant, and deeply aligned with long-term strategic objectives.

The main responsibilities of the position include:

• Partner with IT leadership to establish, plan, and execute departmental targets and KPIs in alignment with corporate goals.
• Oversee the end-to-end data architecture lifecycle, including platform selection, technical design, and the delivery of critical modernization programs.
• Manage conceptual, logical, and physical data models while defining non-functional requirements (scalability, performance) for mission-critical systems.
• Establish enterprise-wide data architecture guidelines, lead technical review sessions, and maintain version-controlled architectural artefacts.
• Collaborate with IT Governance on metadata management, data quality metrics, and audit compliance to ensure adherence to security and enterprise regulations.
• Drive continuous innovation by evaluating emerging technologies and integrating advanced analytics capabilities to enhance data-driven solutions.
• Lead, coach, and motivate the data architecture team by setting performance targets, providing regular feedback, and fostering a culture of knowledge sharing.
• Partner closely with project teams as an embedded contributor, guiding schema design, physical design choices (e.g., indexing and partitioning), data access patterns, and query optimization best practices.
• Advise project teams on the end-to-end data product lifecycle, from platform selection through testing and implementation.
• Develop onboarding and training programs for Data Architecture, and extend architectural expertise and services across all Group companies.

Main requirements:

• BSc/MSc in Computer Science, Information Technology or related field.
• At least 5 years’ experience in data-architecture or related roles, including leadership of enterprise initiatives
• Deep expertise in data-platform patterns (lakehouses, data mesh) and advanced modelling techniques
• Proven track record in designing scalable, high-availability data architectures and respective SLAs
• Demonstrable Experience across the following domains:
• Metadata and Master Data Management, Data Quality, Data Warehousing, Reporting & Data/Analytics.
• Enterprise data modelling
• Data Governance
• Data Platforms
• ETL Tools
• Data Standards
• Demonstrable experience using Cloud data technologies to develop enterprise data platforms
• Proven success in architecting enterprise data strategies, building ROI-driven business cases, and aligning architecture across multiple business units.
• Strong expertise in designing automated data pipelines and navigating data security, privacy frameworks, and regulations.
• Demonstrated leadership ability to motivate, coach, and develop a high-performing technical team.
• Highly effective in agile delivery models, with excellent facilitation skills for Architecture Review Boards and stakeholder committees.
• Exceptional analytical, problem-solving, and interpersonal communication skills.

Benefit from:

• Attractive remuneration package
• Private health insurance
• Corporate pension fund
• Intellectually stimulating work environment
• Continuous personal development and international training opportunities

The Hiring Experience: What Awaits You

• Let’s Connect - Intro Chat with Talent Acquisition
• Deep Dive - First Interview with Your Future Team
• Bring It to Life - Role-Specific Take-Home Task
• Final Connection - Final Interview